Modeling and forecasting financial time series with ordered fuzzy candlesticks
By Adam Marszałek, T. Burczynski. 2014
84 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Economics and Econometrics, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
Citations in the corpus
- Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets (2018, background): “However, predicting stock prices is not an easy work, due to the complexity and chaotic dynamics of the markets and the many nondecidable, nonstationary stochastic variables involved [9].”